Some efforts have made to efficiently integrating reservoir circuits in VLSIs. In an early study, an electronic reservoir was implemented with a general-purpose ANN application-specific integrated circuit (ASIC) which is a mixed-mode hardware using analog computation and digital signaling [1]}. This system consists of 256 McCulloch-Pitts binary neuron nodes and 33k analog synapses. The input and output information are given by binary sequences. Experimental results showed that the computational performance of the RC system in a temporal 3-bit parity task is maximized when the neural network exhibits critical dynamics at the edge of chaos, as in the case of previous results of software simulations [2]}.
